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This chapter introduces a Distributed Coordinated Control (DCC) scheme designed for offshore wind farms (OWF) connected through Multi-Terminal Direct Current (MTDC) systems, aimed at providing rapid frequency support. By employing a consensus algorithm, the DCC strategy effectively distributes frequency support power among the offshore wind turbines (WT). The proposed DCC framework ensures the maximum use of kinetic energy from all WTs and maintains safety by utilizing a consensus state index and adaptively modifying droop control coefficients. Following the frequency support, the strategy directs the WTs to begin an asymptotic recovery process, promoting smooth re-storage of rotor speed, with other WTs following suit to prevent secondary frequency drops. Additionally, to facilitate rapid frequency support, a communication-free estimator is employed to estimate the onshore DC voltage using locally measured offshore signals. The performance of the proposed scheme is evaluated through case studies conducted on MATLAB and OPAL-RT real-time simulation platforms. Various control schemes are compared, taking into account parameter uncertainties and noise interference, showcasing the effectiveness of the proposed DCC scheme.

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Distributed Cooperative Control of Offshore Wind Farms Integrated via MTDC System for Fast Frequency Support

  • 章节

  • 发表日期：

    2025年

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  • Wei Yao,
  • Hongyu Zhou,
  • Yongxin Xiong,
  • Jinyu Wen

摘要

This chapter introduces a Distributed Coordinated Control (DCC) scheme designed for offshore wind farms (OWF) connected through Multi-Terminal Direct Current (MTDC) systems, aimed at providing rapid frequency support. By employing a consensus algorithm, the DCC strategy effectively distributes frequency support power among the offshore wind turbines (WT). The proposed DCC framework ensures the maximum use of kinetic energy from all WTs and maintains safety by utilizing a consensus state index and adaptively modifying droop control coefficients. Following the frequency support, the strategy directs the WTs to begin an asymptotic recovery process, promoting smooth re-storage of rotor speed, with other WTs following suit to prevent secondary frequency drops. Additionally, to facilitate rapid frequency support, a communication-free estimator is employed to estimate the onshore DC voltage using locally measured offshore signals. The performance of the proposed scheme is evaluated through case studies conducted on MATLAB and OPAL-RT real-time simulation platforms. Various control schemes are compared, taking into account parameter uncertainties and noise interference, showcasing the effectiveness of the proposed DCC scheme.